Join
Join a Lab
We don’t want you to sprint—we want you to last. Research requires sustainable pacing and clear boundaries. If you log your process, revise honestly, and treat risk as real constraints, you’ll fit here.
Role types
| Role | Work | What we value |
|---|---|---|
| Research Assistant (RA) | Annotation, corpus maintenance, lab logs, reproducibility runs | Stable pacing and strong logging habits |
| Teaching Assistant (TA) | Feedback, seminars, tooling support | Communication and care; appointed per term |
| Visiting collaborator | Joint topics, standards drafts, toolchain co-build | Clear ethics and data boundaries |
| Student contributor | Upgrade course projects into research outputs | Start small with templates, cases, postmortems |
What to send (simplified)
- · One sample: lab log / ruleset / postmortem / writing (one is enough)
- · A concrete question you want to work on (not just keywords)
- · Time commitment and time zone notes
- · Risks and boundaries you see (e.g., data sensitivity, lab hazards)
You don’t need to be “strong” on day one. You need to be honest, sustainable, and collaborative.
Downloads
Ethics & data minimization guide
Anonymization examples, review workflow, and risk-tiering notes.
MDU-RP reproducibility template
A standard logging template for course projects and research contributions.